Bulge Bracket Investment Banks

Posted 8 days ago

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**Lead Infrastructure Engineer – SRE, DevOps, Cloud, BI, AI Solutions** at JPMorganChase Pioneers infrastructure evolution. Apply advanced SRE and DevOps expertise, collaborating across teams to deliver excellence. Leverage Python, PowerShell, and cloud platforms (AWS, Azure, GCP) to automate infrastructure via Terraform and Ansible. Manage monitoring and observability using Dynatrace and Grafana, and support AI/ML tools. Requires 8+ years in SRE/DevOps roles, scripting proficiency, and hands-on cloud, BI, and AI experience.

Compensation: Not specified INR
City: Bengaluru
Country: India

Full Job Description

Location: Bengaluru, Karnataka, India

Join a high-performing team where your expertise shapes the future of infrastructure at a global leader. Grow your skills and make a lasting impact.

As a Lead Infrastructure Engineer at JPMorganChase within the Chief Technology Office team, you apply deep knowledge of software, applications, and technical processes to infrastructure engineering. You will continue to evolve your technical and cross-functional expertise, collaborating across domains to deliver excellence. We value your contributions and encourage you to expand your skills in a supportive, innovative environment.

Job responsibilities

Apply technical expertise and problem-solving methodologies to projects of moderate scope

Drive workstreams or projects involving infrastructure engineering technologies

Collaborate with other platforms to architect and implement changes for issue resolution and modernization

Execute creative solutions for design, development, and technical troubleshooting

Consider upstream/downstream data and systems implications and advise on mitigation actions

Required qualifications, capabilities and skills

Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience)

8+ years of experience in SRE, DevOps, or platform automation roles

Strong proficiency in scripting and programming languages such as Python, Bash, PowerShell, or Go

Hands-on experience with CI/CD tools (Jenkins, Spinnaker, GitLab CI, or equivalent)

Experience with Infrastructure as Code (Terraform, Ansible, CloudFormation)

Strong experience with monitoring and observability tools (Dynatrace, Splunk, Grafana, Datadog)

Experience with cloud platforms (AWS, Azure, or GCP)

Experience with AI/ML tools and frameworks (GitHub Copilot, LLM Suite)

Hands-on experience in supporting infrastructure platform and SRE for BI tools such as SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, or IBM Cognos

Hands-on experience with ServiceNow, JIRA ticketing tools

Preferred qualifications, capabilities and skills

Familiarity with secrets management, least-privilege access, and security best practices

Experience with Snowflake, Databricks, or other cloud data platforms

Knowledge of SDLC processes, Agile/Scrum methodologies, and change management

Experience with Autosys, Control-M, or similar job scheduling tools

Lead automation engineering solutions across infrastructure and SRE, driving performance and innovation in a dynamic team.

Full Job Description

Location: Bengaluru, Karnataka, India

Join a high-performing team where your expertise shapes the future of infrastructure at a global leader. Grow your skills and make a lasting impact.

Job responsibilities

Apply technical expertise and problem-solving methodologies to projects of moderate scope

Drive workstreams or projects involving infrastructure engineering technologies

Collaborate with other platforms to architect and implement changes for issue resolution and modernization

Execute creative solutions for design, development, and technical troubleshooting

Consider upstream/downstream data and systems implications and advise on mitigation actions

Required qualifications, capabilities and skills

Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience)

8+ years of experience in SRE, DevOps, or platform automation roles

Strong proficiency in scripting and programming languages such as Python, Bash, PowerShell, or Go

Hands-on experience with CI/CD tools (Jenkins, Spinnaker, GitLab CI, or equivalent)

Experience with Infrastructure as Code (Terraform, Ansible, CloudFormation)

Strong experience with monitoring and observability tools (Dynatrace, Splunk, Grafana, Datadog)

Experience with cloud platforms (AWS, Azure, or GCP)

Experience with AI/ML tools and frameworks (GitHub Copilot, LLM Suite)

Hands-on experience in supporting infrastructure platform and SRE for BI tools such as SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, or IBM Cognos

Hands-on experience with ServiceNow, JIRA ticketing tools

Preferred qualifications, capabilities and skills

Familiarity with secrets management, least-privilege access, and security best practices

Experience with Snowflake, Databricks, or other cloud data platforms

Knowledge of SDLC processes, Agile/Scrum methodologies, and change management

Experience with Autosys, Control-M, or similar job scheduling tools

Lead automation engineering solutions across infrastructure and SRE, driving performance and innovation in a dynamic team.

Lead Infrastructure Engineer – SRE, DevOps, Cloud, BI, AI Solutions

Full Job Description

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Full Job Description

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